Short-term photovoltaic power generation predicting by input/output structure of weather forecast using deep learning
Sign Up to like & getrecommendations! Published in 2021 at "Soft Computing"
DOI: 10.1007/s00500-020-05199-7
Abstract: In Korea, weather forecasts for fundamental weather factors, such as temperature, precipitation, wind direction and speed, humidity, and cloudiness, are provided for a three-day period in each region. This can facilitate predicting photovoltaic power generation… read more here.
Keywords: power generation; structure; photovoltaic power; weather ... See more keywords
Complementary operation of a small cascade hydropower station group and photovoltaic power stations
Sign Up to like & getrecommendations! Published in 2020 at "Clean Technologies and Environmental Policy"
DOI: 10.1007/s10098-020-01896-x
Abstract: Complementation with hydropower is an important solution to solve the problems of grid connection and consumption of photovoltaic generation. Considering the randomicity of photovoltaic output and runoff, hydropower station with good regulation capability is often… read more here.
Keywords: photovoltaic power; power; hydropower; operation ... See more keywords
A Predictive Model for Solar Photovoltaic Power based on Computational Intelligence Technique
Sign Up to like & getrecommendations! Published in 2019 at "Arabian Journal for Science and Engineering"
DOI: 10.1007/s13369-019-03725-w
Abstract: This paper introduces a novel method for representing the photovoltaic (PV) characteristics using Takagi–Sugeno type neuro-fuzzy network (NF). The proposed NF uses four layers with sixty-four fuzzy rules. Moreover, an improved self-tuning method is developed… read more here.
Keywords: predictive model; model solar; solar photovoltaic; power ... See more keywords
Participation of photovoltaic power producers in short-term electricity markets based on rescheduling and risk-hedging mapping
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DOI: 10.1016/j.apenergy.2020.114741
Abstract: Abstract Optimal bidding that considers different electricity market floors can increase the financial gains of photovoltaic (PV) power producers. However, the current approach to trading PV power essentially consists of committing to sell the forecasted… read more here.
Keywords: photovoltaic power; market; electricity; power producers ... See more keywords
Day-ahead photovoltaic power production forecasting methodology based on machine learning and statistical post-processing
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DOI: 10.1016/j.apenergy.2020.115023
Abstract: Abstract A main challenge towards ensuring large-scale and seamless integration of photovoltaic systems is to improve the accuracy of energy yield forecasts, especially in grid areas of high photovoltaic shares. The scope of this paper… read more here.
Keywords: methodology; machine learning; ahead photovoltaic; day ahead ... See more keywords
Forecasting and uncertainty analysis of day-ahead photovoltaic power using a novel forecasting method
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DOI: 10.1016/j.apenergy.2021.117291
Abstract: Abstract The primary means to promote grid-connected photovoltaic power generation is through accurately forecasting the power output from photovoltaic power stations. This paper proposes a method for day-ahead photovoltaic power forecasting (PPF) and uncertainty analysis… read more here.
Keywords: ahead photovoltaic; lssvm; power; photovoltaic power ... See more keywords
Research on the policy route of China’s distributed photovoltaic power generation
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DOI: 10.1016/j.egyr.2019.12.027
Abstract: Abstract The distributed photovoltaic power generation is an important way to make use of solar energy in cities. China issues a series of policies to support the development of distributed photovoltaics in law, electricity price,… read more here.
Keywords: china distributed; photovoltaic power; distributed photovoltaic; power generation ... See more keywords
Photovoltaic power forecasting based LSTM-Convolutional Network
Sign Up to like & getrecommendations! Published in 2019 at "Energy"
DOI: 10.1016/j.energy.2019.116225
Abstract: Abstract The volatile and intermittent nature of solar energy itself presents a significant challenge in integrating it into existing energy systems. Accurate photovoltaic power prediction plays an important role in solving this problem. With the… read more here.
Keywords: network; photovoltaic power; lstm convolutional; model ... See more keywords
Balancing the shading impact in utility-scale dual-axis tracking concentrator photovoltaic power plants
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DOI: 10.1016/j.energy.2020.118490
Abstract: Abstract Nowadays, the growth of concentrator photovoltaic technology is limited because of a levelised cost of energy higher than conventional photovoltaic technologies. For this reason, the new concentrator photovoltaic power plants need to be optimised… read more here.
Keywords: concentrator photovoltaic; power plants; photovoltaic power; balancing shading ... See more keywords
Deep learning based forecasting of photovoltaic power generation by incorporating domain knowledge
Sign Up to like & getrecommendations! Published in 2021 at "Energy"
DOI: 10.1016/j.energy.2021.120240
Abstract: Abstract Solar energy constitutes an effective supplement to traditional energy sources. However, photovoltaic power generation (PVPG) is strongly weather-dependent, and thus highly intermittent. High-precision forecasting of PVPG forms the basis of the production, transmission, and… read more here.
Keywords: learning based; power; power generation; photovoltaic power ... See more keywords
A dynamic analysis of research and development incentive on China's photovoltaic industry based on system dynamics model
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DOI: 10.1016/j.energy.2021.121141
Abstract: Abstract Government policies and investments in the photovoltaic power generation industry have contributed to the fast development of the photovoltaic power generation industry through technology push. But how does the research and development (R&D) investment… read more here.
Keywords: power generation; industry; generation industry; photovoltaic power ... See more keywords